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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Overview of Linear Fixed Models for Longitudinal Data
verfasst von : Brajendra C. Sutradhar
Erschienen in: Dynamic Mixed Models for Familial Longitudinal Data
Verlag: Springer New York
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In a longitudinal setup, a small number of repeated responses along with certain multidimensional covariates are collected from a large number of independent individuals. Let
y
yi
1
, …,
y
it
, …,
y
iT
i
be
T
i
≥ 2 repeated responses collected from the
i
th individual, for
i
= 1, …,
K
, where
K
→ ∞. Furthermore, let
x
it
= (
x
it 1
, …,
x
it p
)
′
be the
p
-dimensional covariate vector corresponding to
y
it
, and
β
denote the effects of the components of
xit
it
on
y
it
. For example, in a biomedical study, to examine the effects of two treatments and other possible covariates on blood pressure, the physician may collect blood pressure for
T
i
=
T
= 10 times from
K
= 200 independent subjects.